events

Join CEETL on Thursday, November 19, 2026, at 10 a.m. via Zoom for an engaging discussion on supporting neurodiverse students in engineering education and exploring the potential of generative AI to enhance their college experience. Faculty from SFSU’s Graduate College of Education and School of Engineering will share findings from student interviews and recent research on the strengths and challenges of neurodiverse learners, including the possibilities and limitations of generative AI. Participants will also collaborate on strength-based approaches to fostering more inclusive and supportive learning environments. The lessons from students in our engineering classrooms are universal and we encourage faculty from all disciplines to consider attending this workshop. 

Register through CEETL’s single registration form under “JEDI Masters Programs.”   

In this first AI: Cases and Conversations session, Dr. Anisha Singh, Assistant Professor of Psychology, will share how she uses Codex to assist with quantitative data analysis. Dr. Singh will demonstrate how Codex can function as a research analyst, not just a code generator, within her own researcher-directed workflow. Learn how Codex can implement and document work while the researcher remains firmly in the driver’s seat, defining questions and models, interpreting findings and verifying results.

Come join us to explore this approach and share your own insights about using AI for data analysis.

AI: Cases and Conversations

The AI: Cases and Conversations series features members of the SFSU community sharing how they use AI to support their academic or professional work.

Sessions offer:

• Practical examples grounded in real and emerging use cases
• Participative reflection, discussion, and collective learning
• Meaningful inquiry about the value of AI tools across disciplines and in everyday use

Learn about possibilities, compare approaches, and consider how colleagues’ and peers’ experiences might inform your own perspective and practice with AI.

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Summarize what generative AI is, how it works, and how it differs from other AI types
• Describe accuracy and ethical considerations associated with generative AI
• Identify task-related opportunities with generative AI
• Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Summarize what generative AI is, how it works, and how it differs from other AI types
• Describe accuracy and ethical considerations associated with generative AI
• Identify task-related opportunities with generative AI
• Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

Featuring: Maya Ackerman, PhD
100 Women in AI | CEO & Co-Founder, WaveAI | Professor of Computer Science, Santa Clara University

Maya Ackerman, PhD, is a leading expert in generative AI. She is the CEO and Co-Founder of WaveAI, one of the first generative AI startups, which has served millions across the globe. A Professor of Computer Science at Santa Clara University, she has authored more than 50 peer-reviewed publications and is an internationally sought-after speaker, having given talks at Oxford, Google, the United Nations, Stanford, and Microsoft.

Her work has been featured in Forbes, NPR, Fortune, NBC News, and other major outlets. She is the author of Creative Machines: AI, Art & Us (Wiley, Oct. 2025), a powerful exploration of how artificial intelligence is reshaping creativity and what that means for the future of humanity. She has been named among 100 Women in AI, recognized as a Billboard Executive Honoree, and named a Woman of Influence by the Silicon Valley Business Journal.

Location: DTC: 198 McAllister St - Room 213

Featuring: Babak Hodjat, PhD
Chief AI Officer, Cognizant

Babak Hodjat is the Chief AI Officer at Cognizant Technologies. He is a longtime entrepreneur and the former Co-Founder and CEO of Sentient, where he was responsible for the core technology behind what became one of the world’s largest distributed AI systems. Babak was also the founder of Sentient Investment Management, one of the world’s first AI-driven hedge funds.

Babak is a serial entrepreneur who has started a number of Silicon Valley companies as a principal inventor and technologist and has 25 granted or pending patents to his name. He is also the primary inventor of Dejima’s patented agent-oriented technology, which was applied to intelligent interfaces for mobile and enterprise computing and contributed to the technology behind Apple’s Siri.

In this webinar, he will explore the emerging world of multi-agent AI systems and demonstrate how intelligent networks of AI agents can be designed and scaled, including a look at Neuro SAN, an open-source framework for prototyping and scaling systems of agent networks.